Literature DB >> 32075017

Breast Cancer Detection-A Synopsis of Conventional Modalities and the Potential Role of Microwave Imaging.

Brian M Moloney1,2, Declan O'Loughlin3, Sami Abd Elwahab2, Michael J Kerin2.   

Abstract

Global statistics have demonstrated that breast cancer is the most frequently diagnosed invasive cancer and the leading cause of cancer death among female patients. Survival following a diagnosis of breast cancer is grossly determined by the stage of the disease at the time of initial diagnosis, highlighting the importance of early detection. Improving early diagnosis will require a multi-faceted approach to optimizing the use of currently available imaging modalities and investigating new methods of detection. The application of microwave technologies in medical diagnostics is an emerging field of research, with breast cancer detection seeing the most significant progress in the last twenty years. In this review, the application of current conventional imaging modalities is discussed, and recurrent shortcomings highlighted. Microwave imaging is rapid and inexpensive. If the preliminary results of its diagnostic capacity are substantiated, microwave technology may offer a non-ionizing, non-invasive, and painless adjunct or stand-alone modality that could possibly be implemented in routine diagnostic breast care.

Entities:  

Keywords:  breast cancer; breast imaging; microwave breast imaging; multimodal imaging

Year:  2020        PMID: 32075017     DOI: 10.3390/diagnostics10020103

Source DB:  PubMed          Journal:  Diagnostics (Basel)        ISSN: 2075-4418


  8 in total

Review 1.  Microwave Imaging for Early Breast Cancer Detection: Current State, Challenges, and Future Directions.

Authors:  Nour AlSawaftah; Salma El-Abed; Salam Dhou; Amer Zakaria
Journal:  J Imaging       Date:  2022-04-23

Review 2.  Applications of Microwave Energy in Medicine.

Authors:  Alexandra Gartshore; Matt Kidd; Lovleen Tina Joshi
Journal:  Biosensors (Basel)       Date:  2021-03-26

3.  Assessing Patient-Specific Microwave Breast Imaging in Clinical Case Studies.

Authors:  Declan O'Loughlin; Muhammad Adnan Elahi; Benjamin R Lavoie; Elise C Fear; Martin O'Halloran
Journal:  Sensors (Basel)       Date:  2021-12-01       Impact factor: 3.576

4.  Automated breast lesion localisation in microwave imaging employing simplified pulse coupled neural network.

Authors:  Maitreyee Dey; Soumya Prakash Rana; Riccardo Loretoni; Michele Duranti; Lorenzo Sani; Alessandro Vispa; Giovanni Raspa; Mohammad Ghavami; Sandra Dudley; Gianluigi Tiberi
Journal:  PLoS One       Date:  2022-07-21       Impact factor: 3.752

5.  ΕGFR/ERβ-Mediated Cell Morphology and Invasion Capacity Are Associated with Matrix Culture Substrates in Breast Cancer.

Authors:  Konstantina Kyriakopoulou; Eirini Riti; Zoi Piperigkou; Konstantina Koutroumanou Sarri; Heba Bassiony; Marco Franchi; Nikos K Karamanos
Journal:  Cells       Date:  2020-10-08       Impact factor: 6.600

6.  Microwave Breast Imaging Using Compressed Sensing Approach of Iteratively Corrected Delay Multiply and Sum Beamforming.

Authors:  Mohammad Tariqul Islam; Md Tarikul Islam; Md Samsuzzaman; Salehin Kibria; Muhammad E H Chowdhury
Journal:  Diagnostics (Basel)       Date:  2021-03-08

7.  The Wavelia Microwave Breast Imaging system-tumour discriminating features and their clinical usefulness.

Authors:  Brian M Moloney; Peter F McAnena; Sami M Elwahab; Angie Fasoula; Luc Duchesne; Julio D Gil Cano; Catherine Glynn; AnnaMarie O'Connell; Rachel Ennis; Aoife J Lowery; Michael J Kerin
Journal:  Br J Radiol       Date:  2021-10-05       Impact factor: 3.039

8.  Feasibility of Portable Microwave Imaging Device for Breast Cancer Detection.

Authors:  Mio Adachi; Tsuyoshi Nakagawa; Tomoyuki Fujioka; Mio Mori; Kazunori Kubota; Goshi Oda; Takamaro Kikkawa
Journal:  Diagnostics (Basel)       Date:  2021-12-23
  8 in total

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